Radial basis function (RBF) interpolation is a flexible, mesh‑free approach for approximating scattered data, but direct solvers require O(N²) memory and O(N³) work, which becomes impractical beyond ...

The mdisd C++ library is dedicated to the interpolation of scattered data with one or more dimensions. The library is also available for use with Python. It was created in 2024 by Nils Malmberg, then ...

Abstract: Multivariate interpolation by using radial basis functions (RBF) provides persuasive meshfree method for scattered data approximation. It offers a unified solution for mesh motion and ...

Abstract: In the present work radial basis function (RBF) method, combined with improved data reduction algorithm, is presented as a unified methodology for efficient computational static aeroelastic ...

Research on soil contamination has become increasingly important, but there is limited information about where to sample for pollutants. Thus, the use of three-dimensional (3D) spatial interpolation ...